Overview
ICOMM is looking for detail-oriented and analytically driven Data Analysts to join our growing Business Intelligence team. In this role, you will work on a variety of analytics initiatives, oversee high-volume invoice processing workflows, and transform complex financial and operational data into actionable insights that drive strategic decisions across the organization.
Duties
- Manage and optimize high-volume invoice processing pipelines, including validation, exception handling, three-way matching (PO, receipt, invoice), and automated approval routing.
- Execute end-to-end analytics solutions — from data discovery and profiling to detailed data loading.
- Integrate invoice and accounts payable data from ERP systems (SAP, Oracle, Dynamics), procurement platforms, and third-party vendors into centralized analytics environments with full auditability.
- Analyze invoice lifecycle metrics — including cycle times, dispute rates, early payment discount capture, and duplicate payment risk — and present findings to finance leadership with clear recommendations.
- Apply anomaly detection and pattern recognition techniques to identify billing errors and process bottlenecks before they impact financial close cycles.
- Monitor data quality, completeness, and consistency across invoice and financial datasets; implement automated alerting and data validation checks to ensure reporting accuracy.
Necessary Experience and Qualifications
- · 3+ years of experience in a data analyst or business intelligence role.
- Demonstrated experience with high-volume invoice processing workflows, including three-way matching, exception management, duplicate detection, and AP automation platforms (e.g., Coupa, Basware, or Ariba).
- Demonstrated ability to apply advanced analytical techniques — including statistical modeling, trend analysis, cohort analysis, and KPI framework design — to large, complex financial datasets.
- Proven experience integrating financial data from ERP systems and accounts payable platforms, with solid understanding of invoice lifecycle stages, payment terms, and accrual accounting concepts.
- Solid understanding of financial analytics domains, including accounts payable, procurement, spend analytics, and working capital optimization, along with dimensional modeling concepts for financial reporting.
- Proficiency in Microsoft Excel for analysis, including pivot tables and data connection management.
- Strong analytical thinking with a track record of delivering data-driven insights to non-technical audiences.
- Experience implementing data quality frameworks and anomaly detection processes to identify invoice discrepancies, billing errors, and compliance risks within large-scale AP datasets.
Pay: $45,000.00 - $65,000.00 per year
Benefits:
- 401(k)
- 401(k) 3% Match
- Dental insurance
- Disability insurance
- Flexible schedule
- Health insurance
- Life insurance
- Paid time off
- Prescription drug insurance
- Vision insurance
- Work from home
Work Location: Hybrid remote in Forest Park, IL 60130